Select the appropriate letter to list the data sets starting with that letter.
|The State of Mpumalanga Population Report (MPPOP) 2016
A series of interviews were conducted which includes 6 focus group interviews with youth participants and 4 individual interviews with government officials during 2015 in Mpumalanga in an effort to have a comprehensive understanding report about the state of the population in the province.
|Money, Politics and Transparency Campaign Finance Indicators Project (MPT) 2014
Country's in law score is the unweighted average of the scores on all 23 de jure indicators in a country scorecard: It provides an indication of how stringently a country's laws regulate political finance. The in practice score is the unweighted average of the scores on all 20 de facto indicators. This measure assesses practical enforcement within a country. The composite score is the average of all scores on a given country scorecard, weighted by each of the scorecard's five sections.
Only the South African data scores are available in the HSRC web site. The complete dataset which consists of all 54 countries can be downloaded from - http://www.globalintegrity.org/downloads/#mpt.
The full report of the study can be accessed from - https://data.moneypoliticstransparency.org/.
For more information regarding the study which includes the methodology, key findings, etc. the websites below may be accessed:
|National Coronavirus Antibody Survey (NCAS) 2020-21
Topics covered in the questionnaire are: household members and their characteristics, household income, availability of services, demographic information, medical history, health risk behaviours, symptom history, access to COVID-19 prevention measures, self-perceived risk, and travel habits or physical distancing.
A total of 10 109 VPs were approached to participate in the survey, of the 10 109 VPs approached, 5 580 agreed to participate, giving a household response rate of 55%. Of all the VPs approached, 43.1% refused to take part in the survey, and 1.6% of the valid VPs were unoccupied or empty.
A total of 16 646 individuals were eligible to participate in the study, of whom 90.87% agreed to be interviewed. Of those who were eligible, 81.9% completed the interview and provided blood specimens.
The data set available for dissemination contains 15 127 cases and 156 variables.
|Non-communicable disease screening and HIV testing and counselling in rural KwaZulu-Natal, South Africa (NCD) 2015
The data set includes information on anthropometry, mental health, general health state, blood pressure, LDL Cholesterol, Rapid Glucose Assessment, pulse, Working memory, NCD risk factors, chronic condition and health service coverage and health care utilisation.
The data set consists of 587 cases and 227 variables.
|An Outcomes Evaluation of the NDC fruit processors factory in Tzaneen (NDC) 2016: Suppliers
This study did an evaluation of the socio-economic spillovers of the introduction of a fruit processing factory in Tzaneen. The data file contains responses from the suppliers to the NDC fruit processors factory. The data contains information regarding the supplier's demographics, business activity, job creation, source of merchandise and the market environment.
The data set contains 62 records and 66 variables.
|OXFAM 2010 Before We Eat We Must Struggle: The impact of the GEC at the household level evidence from a qualitative field study - Gauteng and Mpumalanga
The 2010 (May - June) dataset contains a summary of the household responses as given by the head or partner of head to the interview team, using a single aide-memoire interview schedule with open-ended questions together with some quantitative questions. It covers the household situation in regard to poverty, hunger and the impact of the 2008 Global Economic Crisis on poor households and on their members from 2008-2009. Both text transcriptions of the recorded responses and the quantitative material are included in the dataset. Not all households in the sample completed all the questions.
Twenty nine households with 14 at 'Swedenville' and 15 at 'Bergpoort' (Pseudo locations). The main respondent data set has 262 variables, 27 records. The household roster has 18 variables and 106 records. The merged dataset has 279 variables and 106 records.
|Perceptions of poverty and its manifestation in three provinces of South Africa, KwaZulu-Natal, Eastern Cape and Limpopo (PPMSA) 2014
This data set was collected in Limpopo, Eastern Cape and KwaZulu-Natal. The target populations were participants in NDA projects that were mainly concerned with income generation namely, the Vukuzenzele Weaving Project, the Zamokuphila Piggery Farming Cooperative, the Asisukume Msinga Agricultural Cooperative, the RASEKO Agricultural Cooperative and Emazizini Primary Cooperative.
15 respondents were selected from each project. The administered questionnaire dealt with policy perceptions of poverty across different themes.
|Quality Learning Project (QLP) 2004 Gr9-11 Learner background: South Africa - National study
The data set contains the data from the learner background questionnaire, e.g. Learner profile, support received and learner participation, learner education and other background, school environment, reading proficiency, textbooks and learning materials, English and Mathematics class conditions.
There were 378 variables and 6196 cases (2386 grade 9 and 3810 grade 11 learners).
Slight differences occur between the realized sample as stated in the reports and those that appear in the published data. Cases were omitted in the learner questionnaire data if a paired learner test was not available. Learners who were absent on the testing would not have their background information included in the data.
|Quality Learning Project (QLP) 2004 Mathematics educator: South Africa - National study
The topics included in the educators' contextual questionnaire covered e.g. biographical information, qualification, teaching experience, professional development, number of classes and periods, percentage time spent on activities during and after school, tests/exams and homework, learner's educational background, attitude of learners towards learning, negative factors on Mathematics teaching, involvement of parents, class profile - size of classes and type of facilities, Mathematics syllabus, improved assessment practices, effective use of learning support materials, and curriculum monitoring.
The data file consists of 306 variables and 149 cases.
|Child Maltreatment Prevention Readiness Assessment: South Africa 2011 - Experts
This data set contains responses of the experts who were part of the research team. The RAP-CM-XD was completed by the research team after conducting the interviews of key informants with RAPCM-I using all available data relevant to CMP in the country data, both gleaned from the interviews with key informants and collected from other sources. In addition, data on key country conditions - such as income level, per capita GDP, Gini index, adolescent fertility rate - with a potential bearing on the country's readiness to implement child maltreatment prevention programmes were also collected. Data collection took place in 2011.
|Child Maltreatment Prevention Readiness Assessment: South Africa 2011 - Interviewees
This data set contains responses of key informants (who are the main actors in CMP in the country and at the provincial level) on the knowledge, attitudes, beliefs, and opinions concerning child maltreatment prevention. This field trail was conducted in 2011.
The response rate was 78.8 percent. This data set has 154 variables 41 cases.
|National Research and Experimental Development Survey (R&D) 2001-02: All provinces in South Africa - Aggregated
This data set contains the aggregated data for the years 2001/02 on the R&D expenditure of businesses, government, higher education, not-for-profit organisations, science councils and research institutions and museums.
|National Research and Experimental Development Survey (R&D) 2001/02_2020/21: All provinces in South Africa - Aggregated
This data set contains aggregated data from 2001/02 to 2020/12 on R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and personnel data. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils.
|National Research and Experimental Development Survey (R&D) 2003-04: All provinces in South Africa - Aggregated
This data set contains data tables on aggregated R&D Personnel and aggregate R&D expenditure of five survey sectors across multiple categorisations for the years 2003 to 2004.
|National Research and Experimental Development Survey (R&D) 2004-05: All provinces in South Africa - Aggregated
This data set contains the aggregated data on the R&D expenditure of businesses, Government, Higher Education, Not-for-Profit Organisations, Science Councils and Research Institutions & Museums for the 2004/05 survey.
Subsequent to the dissemination of version 1 of the 2004-05 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.